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# What does this PR do? - Adding a notebook equivalent of the [getting_started/index.md#Quickstart guide](https://github.com/meta-llama/llama-stack/blob/main/docs/source/getting_started/index.md). ## To discuss **Note:** works locally, but I am encountering issues when attempting to run through the notebook on Google Colab. Specifically, on the last step to run the demo, the `knowledge_search` tool doesn't seem to be called i.e.,: ``` rag_tool> Ingesting document: https://www.paulgraham.com/greatwork.html prompt> How do you do great work? inference> I don't have personal experiences or emotions, but I was trained on a large corpus of text data and use various techniques such as natural language processing (NLP) and machine learning algorithms to generate human-like responses. ``` I would expect to get something like: ``` rag_tool> Ingesting document: https://www.paulgraham.com/greatwork.html prompt> How do you do great work? inference> [knowledge_search(query="What is the key to doing great work")] tool_execution> Tool:knowledge_search Args:{'query': 'What is the key to doing great work'} tool_execution> Tool:knowledge_search Response:[TextContentItem(text='knowledge_search tool found 5 chunks: .... .... ``` |
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| notebooks | ||
| openapi_generator | ||
| resources | ||
| source | ||
| zero_to_hero_guide | ||
| conftest.py | ||
| contbuild.sh | ||
| dog.jpg | ||
| getting_started.ipynb | ||
| getting_started_llama4.ipynb | ||
| getting_started_llama_api.ipynb | ||
| license_header.txt | ||
| make.bat | ||
| Makefile | ||
| quick_start.ipynb | ||
| readme.md | ||
Llama Stack Documentation
Here's a collection of comprehensive guides, examples, and resources for building AI applications with Llama Stack. For the complete documentation, visit our ReadTheDocs page.
Render locally
From the llama-stack root directory, run the following command to render the docs locally:
uv run --group docs sphinx-autobuild docs/source docs/build/html --write-all
You can open up the docs in your browser at http://localhost:8000
Content
Try out Llama Stack's capabilities through our detailed Jupyter notebooks:
- Building AI Applications Notebook - A comprehensive guide to building production-ready AI applications using Llama Stack
- Benchmark Evaluations Notebook - Detailed performance evaluations and benchmarking results
- Zero-to-Hero Guide - Step-by-step guide for getting started with Llama Stack